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CREATION
Title : A Review on Optimizing Offloading Performance in Heterogeneous IoT Using Mobile Edge Devices as Nodes
Author :

Dr. Mardhani Riasetiawan, SE Ak, M.T. (1) Dr.techn. Ahmad Ashari, M.I.Kom. (2) Roghib Muhammad Hujja, S.Si., M.Cs. (3)
Date : 0 2023
Keyword : Offloading, IoT, Mobile Edge Devices, Machine Learning Offloading, IoT, Mobile Edge Devices, Machine Learning
Abstract : Offloading, the process of transferring data and tasks from one device to another has been identified as a promising approach for improving performance and reducing workload in the Internet of Things (IoT). However, offloading in a heterogeneous IoT environment, with a wide range of devices and technologies, can be challenging. Mobile edge devices, which provide low-latency connectivity and perform computation at the edge of the network, have been proposed to optimize offloading performance in such an environment. In this literature review, we examine the existing research on using mobile edge devices as nodes for offloading in heterogeneous IoT. We present a comprehensive overview of the various approaches and techniques proposed for selecting the most appropriate device to handle offloaded tasks, including using machine learning algorithms for predicting performance and optimizing the offloading decision-making process. We also discuss the challenges and limitations of these approaches and provide directions for future research. Our review highlights the potential of mobile edge devices as a solution for improving offloading performance in heterogeneous IoT and serves as a valuable resource for researchers and practitioners working in this field.
Group of Knowledge : Ilmu Komputer
Original Language : English
Level : Internasional
Status :
Published
Document
No Title Document Type Action
1 Full dokumen_IJCA.pdf
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2 Bukti Korepondensi.pdf
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3 A Review on Optimizing Offloading Performance in Heterogeneous IoT using Mobile Edge Devices as Nodes (1).pdf
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4 Review of Optimizing.pdf
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